Wenying Tu

21 total papers · 761 total citations
21 papers, 604 citations indexed

About

Wenying Tu is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Wenying Tu has authored 21 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 6 papers in Pharmacology. Recurrent topics in Wenying Tu's work include Mycorrhizal Fungi and Plant Interactions (10 papers), Genomics and Phylogenetic Studies (7 papers) and Fungal Biology and Applications (6 papers). Wenying Tu is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (10 papers), Genomics and Phylogenetic Studies (7 papers) and Fungal Biology and Applications (6 papers). Wenying Tu collaborates with scholars based in China. Wenying Tu's co-authors include Lijiao Li, Zhijie Bao, Peng Xiang, Ting Zhang, Qiang Li, Qiang Li, Jie Cheng, Qian Wu, Caihong Shen and Qiang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Biochemical and Biophysical Research Communications.

In The Last Decade

Wenying Tu

20 papers receiving 600 citations

Hit Papers

Chinese Baijiu: The Perfe... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wenying Tu 190 187 140 96 90 21 604
Lijiao Li 176 0.9× 175 0.9× 139 1.0× 99 1.0× 80 0.9× 31 629
Matilde Soubes 196 1.0× 284 1.5× 158 1.1× 132 1.4× 70 0.8× 18 680
J. A. Ekundayo 77 0.4× 176 0.9× 172 1.2× 62 0.6× 28 0.3× 21 523
Martine Dusser 185 1.0× 237 1.3× 33 0.2× 180 1.9× 82 0.9× 19 588
Jin Ho Joo 113 0.6× 249 1.3× 39 0.3× 79 0.8× 58 0.6× 38 538
Haifeng Li 176 0.9× 131 0.7× 228 1.6× 94 1.0× 17 0.2× 49 650
Juanjuan Qu 157 0.8× 230 1.2× 29 0.2× 120 1.3× 84 0.9× 25 580
Ajay Kumar 104 0.5× 205 1.1× 45 0.3× 125 1.3× 28 0.3× 23 616
H. O. W. Eggins 120 0.6× 249 1.3× 91 0.7× 51 0.5× 78 0.9× 20 642
Artur Piński 179 0.9× 254 1.4× 34 0.2× 244 2.5× 36 0.4× 31 699

Countries citing papers authored by Wenying Tu

Since Specialization
Citations

This map shows the geographic impact of Wenying Tu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenying Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenying Tu more than expected).

Fields of papers citing papers by Wenying Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenying Tu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenying Tu. The network helps show where Wenying Tu may publish in the future.

Co-authorship network of co-authors of Wenying Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenying Tu. A scholar is included among the top collaborators of Wenying Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenying Tu. Wenying Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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